Benjamin Glass (joint with Prasad Patil)
Interests: Machine learning, multi-study analysis.
Zoe Guan (joint with Danielle Braun)
Interests: Risk prediction, model combination, model validation, machine learning, multi-study analysis.
Theo Huang (joint with Danielle Braun)
Interests: Risk prediction, model combination, frailty models.
Maya Ramachandran (joint with Prasad Patil)
Interests: machine learning, multi-study analysis.
Emma Thomas (joint with Francesca Dominici and Lorenzo Trippa)
Bayesian Nonparametrics; Tree-based Modeling
Linying Zhang (joint with Mehmet Samur)
Multiple Myeloma, Methylation, Tumor Microenvironment.
Former PhD Students
PhD 2017 @ Harvard School of Public Health
Title: "An Analysis of Using Pedigrees in Family Based Studies and an Exploration of Cancer Risk and Cancer Resistance Using Twin Studies."
Interests: Statistical methods for twin studies. Genetics of cancer resistance.
PhD 2014 @ Harvard School of Public Health, now Research Associate at Stanford University.
Title: "Bayesian adaptive clinical trials".
Interests: Adaptive clinical trials. Cancer biostatistics.
PhD 2014 @ Harvard School of Public Health, now Research Scientist at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston
Thesis: "Statistical Methods to Adjust for Measurement Error in Risk Prediction Models and Observational Studies"
Interests: Measurement error in cancer biostatistics. Risk prediction. Machine learning.
PhD 2011@ Johns Hopkins University, now Assistant Professor at Georgetown University School of Medicine, Washington
Thesis: "Interpretable Set Analysis for High-Dimensional Data"
Interests: Cancer genome sequencing projects. Gene set analyses.
PhD 2008 @ Johns Hopkins University, now Assistant Professor of Statistics, University of South Carolina.
Thesis: "Gene Regulatory Networks and Higher-Order Interactions: Algorithms and Statistical Models"
Interests: High order interaction analysis in genomics.
PhD 2007 @ Johns Hopkins University, now at MD Anderson Cancer Center, Houston. Thesis "Statistical Methods for Cancer Risk Assessment and Copy Number Estimation"
Interests: Statistical Genetics and genomics. Mendelian risk prediction. SNP analysis.
PhD 2007 @ Johns Hopkins University, now Assistant Professor at Johns Hopkins University, Baltimore. Thesis: "Combining High-Throughput Genomic Data: Methods and Utility"
Interests: Cancer and Cardiovascular Disease genomics. Integration of genomic measurements across technologies. SNP analysis. Genome-wide association studies.
PhD 2006 @ Hopkins, now at the National Cancer Institute, Rockville.
Thesis: "Extending Mendelian Mutation Prediction Models that Predict if One has a Disease-Causing Mutation Based on Family History of Disease"
Interests: Genetic epidemiology of cancer. Measurement error. Censoring and competing risks.
PhD 2005 @ Hopkins, now at Acerta Pharma, Cupertino.
Thesis: "Application of Hierarchical Models in Microarray Data Analysis: Screening for Differentially Expressed Genes and Making Inference on Functional Classes".
Interests: Genomics of eye disases. Bayesian hierarchical models in microarray data analysis, inference on functional class -- disease associations.
MHS 2003 @ Hopkins, now at Columbia University, NY.
Cancer genomics. Classification of cancer subtypes using gene expression microarrays.
PhD 2002 @ Hopkins, now at Brigham Young University, Provo
Thesis: "Statistical Methods for Serial Analysis of Gene Expression".
Interest: Gene expression, experimental design.
Xi "Kathy" Zhou
PhD 2002 @ Duke, now at Cornell University, NY
Thesis: "Classification of Missense Mutations of Disease Genes".
Interests: Bayesian hierarchical models; nonparametric regression; classification.
PhD 2000 @ Duke, now at Decode Genetics, Reykjavik
Thesis: "Multipoint Linkage Analysis based on Allele Sharing Models".
Interests: statistical genetics; multipoint linkage analysis.
PhD 2000 @ Duke, Now at Brigham and Women's Hospital, Boston
Thesis: "Joint Estimation of Mammographic Sensitivity and Tumor Growth".
Interests: practicing medicine.
Fusheng Su PhD
1996 @ Duke, now at HUAYI Clinical Research
Thesis: "Limit Theorems on Deviation Probabilities with Applications in Two-Armed Clinical Trials".
Interests: sequential design, large deviations, bandit problems.
Former Visiting PhD Students
PhD 2016 @ University of Padova, now Postdoctoral Research Associate at Princeton University.
Thesis: "Multi-study analysis for high dimensional biological data".
Interests: Factor analysis, High dimensional Bayesian inference, Bayesian nonparametrics.
PhD 2006 @ George Washington University, now at Medstar Research Institute, Hyattsville.
Thesis: "Bayes Factors Comparing Two Multi-Normal Covariance Matrices and Their Application to Microarray Data Analysis"
Interests: Clinical Trials. Bayesian models.
PhD 2005 @ U Bocconi, now at Università Statale, Milano.
Thesis: "Integrating Supervised and Unsupervised Learning in Genomics Applications",
Interests: "Cancer genomics. Bayesian combinatorial mixture models. Cancer Epidemiology".
PhD 2005 @ U of Verona, now at EURAC, Bolzano.
Thesis: "Haplotype block partitioning as a tool for dimensionality reduction in complex disease modeling",
Interests: Epidemiology-genomics interface. Block reconstruction in SNP analysis.
Lilla Di Scala
PhD 2004 @ University of Pavia, now at Actelion Pharmaceuticals, Basel.
Thesis: Concordance indices and applications to microarray analysis.
Interests: Concordance indices; asymptotics; gene expression; clinical trials.
PhD 1997 @ University of Padua, now at Harvard School of Public Health, Boston.
Thesis: Bayesian Hierarchial Models for Combining Information.
Interests: Environmental biostatistics. Air pollution. Times series and longitudinal data. Multilevel models.